Michal Juraska, PhD, MS

Dr. Michael Juraska is a biostatistician whose research focuses on understanding how vaccines and monoclonal antibodies mediate protection against genetically diverse pathogens, including HIV, COVID-19, malaria and other infectious diseases.

Dr. Juraska develops and applies statistical and computational methods to determine how pathogen phenotypes and genotypes modify vaccine-mediated effects, and to identify vaccine-induced immune responses that serve as correlates of protection. He also develops statistical frameworks for immunological surrogate endpoint strategies to support vaccine licensure when clinical endpoint trials are infeasible.

Dr. Juraska has served as a lead statistician on multiple vaccine and monoclonal antibody efficacy trials and has led independent statistical reporting to, or served as a member of, data monitoring committees. He co-directs the Reproducible Science Core within the HVTN Statistical and Data Management Center, which promotes reproducible statistical science across HVTN studies and external collaborations.

Current Projects

Sieve and immune correlates analyses in HIV, COVID-19 and malaria vaccine trials

Prediction of HIV sensitivity to and prevention efficacy of broadly neutralizing antibodies based on HIV sequence and structural knowledge

Statistical methods and software for surrogate endpoint-based vaccine approval

Statistical design of HIV vaccine and monoclonal antibody efficacy trials in current prevention landscape

Bibliography
 

Software

Code repositories